TY - GEN
T1 - Evaluating Comfort in Fully Autonomous Vehicle Using Biological Emotion Map
AU - Ueno, Shoto
AU - Zhang, Runqing
AU - Laohakangvalvit, Tipporn
AU - Sugaya, Midori
N1 - Funding Information:
This research is in collaboration with the Alps Alpine Co., Ltd.
Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - A development of fully autonomous-driving vehicle is approaching towards the more utilization of time in vehicle aiming at various purposes such as entertainment and relaxation. To achieve such purposes, it is necessary to provide a comfortable environment in the vehicle. Therefore, the goal of this study is to realize a new method to evaluate the comfort focusing on the interior space of the autonomous vehicle. We proposed an emotion map, to estimate and classify emotions by biological signal indexes. We performed an experiment to evaluate various scenarios with the simulated autonomous vehicle in which multimodal stimulus were presented. The experimental results indicated that the comfort increased during the autonomous driving. Therefore, we suggest that our proposed method is effective for evaluating the comfort for the interior of autonomous vehicle, and also applicable to other scenarios.
AB - A development of fully autonomous-driving vehicle is approaching towards the more utilization of time in vehicle aiming at various purposes such as entertainment and relaxation. To achieve such purposes, it is necessary to provide a comfortable environment in the vehicle. Therefore, the goal of this study is to realize a new method to evaluate the comfort focusing on the interior space of the autonomous vehicle. We proposed an emotion map, to estimate and classify emotions by biological signal indexes. We performed an experiment to evaluate various scenarios with the simulated autonomous vehicle in which multimodal stimulus were presented. The experimental results indicated that the comfort increased during the autonomous driving. Therefore, we suggest that our proposed method is effective for evaluating the comfort for the interior of autonomous vehicle, and also applicable to other scenarios.
KW - Autonomous driving
KW - Biological signals
KW - Comfort
KW - Emotion estimation
UR - http://www.scopus.com/inward/record.url?scp=85112617643&partnerID=8YFLogxK
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U2 - 10.1007/978-3-030-80012-3_38
DO - 10.1007/978-3-030-80012-3_38
M3 - Conference contribution
AN - SCOPUS:85112617643
SN - 9783030800116
T3 - Lecture Notes in Networks and Systems
SP - 323
EP - 330
BT - Advances in Human Aspects of Transportation - Proceedings of the AHFE 2021
A2 - Stanton, Neville
PB - Springer Science and Business Media Deutschland GmbH
T2 - AHFE Conference on Human Aspects of Transportation, 2021
Y2 - 25 July 2021 through 29 July 2021
ER -